This notebook displays visualizations for subsequent runs of a LDA training on the same corpus of data.

In [5]:
from IPython.core.display import display, HTML
import ktm_prepviz, pyLDAvis
vis = ktm_prepviz.prepviz("topic_number")
In [6]:
display(HTML("<h1>20 topics</h1>"))
pyLDAvis.display(vis[0])

20 topics

Out[6]:
In [7]:
display(HTML("<h1>40 topics</h1>"))
pyLDAvis.display(vis[1])

40 topics

Out[7]:
In [8]:
display(HTML("<h1>60 topics</h1>"))
pyLDAvis.display(vis[2])

60 topics

Out[8]:
In [9]:
display(HTML("<h1>80 topics</h1>"))
pyLDAvis.display(vis[3])

80 topics

Out[9]:
In [10]:
display(HTML("<h1>100 topics</h1>"))
pyLDAvis.display(vis[4])

100 topics

Out[10]: